Toward a Mechanistic Understanding of Vertical Growth of van der

Beijing University of Posts and Telecommunications, Beijing 100876, China. ‡ Department of Materials Science and Engineering, University of Pennsylv...
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Toward a Mechanistic Understanding of Vertical Growth of van der Waals Stacked 2D Materials: A Multiscale Model and Experiments Han Ye,†,‡ Jiadong Zhou,§ Dequan Er,‡ Christopher C. Price,‡ Zhongyuan Yu,† Yumin Liu,† John Lowengrub,⊥ Jun Lou,∥ Zheng Liu,§ and Vivek B. Shenoy*,‡ Downloaded via TUFTS UNIV on June 30, 2018 at 20:16:24 (UTC). See https://pubs.acs.org/sharingguidelines for options on how to legitimately share published articles.

†

State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications, Beijing 100876, China ‡ Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States § Centre for Programmable Materials, School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore ⊥ Departments of Mathematics and Chemical Engineering & Materials Science, University of California, Irvine, California 92697, United States ∥ Department of Materials Science and NanoEngineering, Rice University, Houston, Texas 77005, United States S Supporting Information *

ABSTRACT: Vertical stacking of monolayers via van der Waals (vdW) interaction opens promising routes toward engineering physical properties of two-dimensional (2D) materials and designing atomically thin devices. However, due to the lack of mechanistic understanding, challenges remain in the controlled fabrication of these structures via scalable methods such as chemical vapor deposition (CVD) onto substrates. In this paper, we develop a general multiscale model to describe the size evolution of 2D layers and predict the necessary growth conditions for vertical (initial + subsequent layers) versus in-plane lateral (monolayer) growth. An analytic thermodynamic criterion is established for subsequent layer growth that depends on the sizes of both layers, the vdW interaction energies, and the edge energy of 2D layers. Considering the time-dependent growth process, we find that temperature and adatom flux from vapor are the primary criteria affecting the self-assembled growth. The proposed model clearly demonstrates the distinct roles of thermodynamic and kinetic mechanisms governing the final structure. Our model agrees with experimental observations of various monolayer and bilayer transition metal dichalcogenides grown by CVD and provides a predictive framework to guide the fabrication of vertically stacked 2D materials. KEYWORDS: vertically stacked 2D materials, growth mechanisms, thermodynamic criterion, kinetic models, transition metal dichalcogenides, chemical vapor deposition phene,14−16 making these structures highly desirable for fieldeffect transistor applications. More importantly, vertical stacking of 2D materials can lead to the creation of heterostructures for improved electronic and optoelectronic devices. Recent demonstrations of such device concepts include thin p−n junctions (e.g., MoS2/WSe2),17,18 structures with interlayer excitons (e.g., MoSe2/WSe2),19,20 rapid interlayer

T

wo-dimensional (2D) materials including group IV, group V, group III-V compounds, and transition metal dichalcogenides (TMDs) have garnered significant interest in pursuit of appealing electronic, optical, mechanical, and thermal properties.1−10 Recently, two or more monolayers vertically stacked via van der Waals (vdW) interaction have been successfully fabricated in experiments.11−20 These structures further expand the possibility of physical property manipulation and the potential design space for atomically thin devices. For example, the capability to continuously tune the band gap using external electric fields emerges in both bilayer semiconducting MoS2 11−13 and bilayer semimetal gra© 2017 American Chemical Society

Received: October 26, 2017 Accepted: December 5, 2017 Published: December 5, 2017 12780

DOI: 10.1021/acsnano.7b07604 ACS Nano 2017, 11, 12780−12788

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Cite This: ACS Nano 2017, 11, 12780−12788

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ACS Nano charge transfer (MoS2/WS2),21−23 and efficient energy transfer (MoS2/WS2).24 Common fabrication techniques of vertically stacked 2D materials involve direct mechanical exfoliation from the bulk25 or mechanical transfer of one individually grown monolayer onto another.12,13 The major drawbacks of these techniques are limited scalability, lack of precise stacking orientation control, and contamination on the layer−layer interface. Bottom-up fabrication using chemical vapor deposition (CVD) is therefore widely regarded as a superior synthesis route26−28 because it avoids these issues while allowing potential growth of in-plane lateral heterostructures by self-assembly. However, the CVD approach involves a complex growth environment with several degrees of freedom that will influence the final structure. Gong et al. recently reported one-step vapor phase growth of highquality vertically stacked (at 1123 K) and in-plane lateral (at 923 K) WS2/MoS2 heterostructures on SiO2/Si substrates.26 The growth temperature was found to be responsible for the growth mode switching, and this effect was ascribed to the competition between kinetically and thermodynamically dominant mechanisms. Xia et al.27 grew triangular MoS2 bilayers at 1123 K on SiO2/Si substrates, observing both the majority AA′29 and minority AB stacking configurations. In this system, Shang et al.30 have shown Mo diffusion to be the growth rate limiting factor and obtained a critical layer size of 9.2 nm × 9.2 nm for freestanding systems using density functional theory (DFT) calculations. Below this substratedependent critical layer size, the MoS 2 monolayer is thermodynamically preferable to the bilayer structure. In addition to temperature, the gas ratio of CH4:H2 in CVD has been demonstrated to influence bilayer growth of hexagonal graphene on the Cu(111) surface, with higher H2 concentration favoring the bilayer31−33 along with lower growth temperature.34 Based on the initial experimental efforts, determining proper growth parameters is clearly a multivariable problem that has so far been addressed with tedious trial and error approaches due to a lack of mechanistic understanding. Unfortunately, current theoretical models do not provide a clear interpretation of the competition between vertical and in-plane lateral growth of 2D materials. Hence, a predictive growth model that addresses thermodynamic and kinetic factors is highly desirable. In the present work, we propose a general multiscale model for CVD growth of vertically stacked 2D materials. We primarily aim to capture the underlying physics and interpret (i) the thermodynamic requirements for vertical growth, (ii) the time-dependent growth rate and size evolution of both layers, and (iii) the growth conditions relevant to experiments.

Figure 1. Schematic of the growth model for vertically stacked 2D materials. The variables cn, Jn, and Ln (n = 0, 1, 2) are the adatom concentration in domain n, the flux of adatoms to the domain boundary, and the edge length of domain n, respectively.

these into consideration, the total free energy of the system is written as Efree = S2( −ε2) + (S1 − S2)( −ε1) + Γ2γ2 + Γ1γ1

∫0

+ kBT

∞

c[ln(c /cref ) − 1] dS

(1)

where γn is the edge energy per unit length, Sn and Γn are the area and perimeter of the layers, c is the adatom concentration, and cref is the reference adatom concentration. The subscripts n = 0, 1, 2 refer to the substrate, layer 1, and layer 2, respectively. The binding energies per unit area of monolayer (ε1) and bilayer (ε2) account for in-plane bonding within the nucleated layers and any corresponding vdW interactions; these contributions are given by the first two terms. The third and fourth terms account for the energies of the growing edges, which are linearly dependent on the perimeters. The last term accounts for the entropy of the adatoms on both the substrate and 2D layers. The size evolution of layer 1 and layer 2 is constrained by mass conservation, which ensures that layer growth is related to the net flux of adatoms diffusing to the boundary of each layer. This conservation law can be used to obtain the time dependence of the edge length (Ln): ∂Ln η = (J − Jn −), n = 1, 2 ∂t Ωs n +

(2)

where Ωs is the concentration of atomic sites in the 2D layer. The structural parameter η is determined by the shape of the layers; η = 2 3 for an equilateral triangle and η = 2/ 3 for an equilateral hexagon. Here, Jn± are the diffusion fluxes of adatoms to the layer boundaries, with the “+” and “−” subscripts differentiating opposite sides of the boundary. In this convention, the “−” (“+”) subscript describes the flux originating from the domain with the lower (same) n index (see Figure 1). To determine the adatom fluxes to the layer edges based on the second law of thermodynamics, we next consider the variation of the total free energy with respect to time. By substituting ∂Ln/∂t using eq 2 and combining terms with similar boundary fluxes Jn±, this variation is expressed as

RESULTS AND DISCUSSION The key ingredients of the general multiscale model developed for the growth of vertically stacked 2D materials on a substrate are depicted in Figure 1. Attachment and diffusion of adatoms lead to the layer growth after nucleation. To maintain generality, the initial layer and the newly growing layer are denoted as layer 1 (Layer1) and layer 2 (Layer2), respectively. A thermodynamic description of the system requires accounting for the following factors: (i) the energy change upon incorporation of adatoms into the growing 2D layers, (ii) the distinct vdW interactions between the 2D layers and between the substrate and the 2D layer, (iii) the energy penalty of layer edges, and (iv) the entropy of the adatoms. Taking 12781

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Figure 2. Relations between growth rate of layer 2 and layer sizes. (a) At fixed size of layer 2 (L2) using triangular shape. (b) At fixed size of layer 1 (L1) using hexagonal shape. (c) Profiles of adatom concentration on layer 1 (c1) for the marked points in (a) and (b). The arrows indicate the directions of adatom diffusion.

⎛ −ε ⎞ γ ∂Efree = Γ1J1 +⎜ 1 + η 1 − μ1 + ⎟ ∂t ΩsL1 ⎝ Ωs ⎠

Here, Dn is the diffusion coefficient, Fn is the rate of adatom supply that accounts for adsorption rate and precursor decomposition, and τd is the effective lifetime of adatoms due to desorption. A diffusion length λ for the adatoms within their lifetime can be calculated using the relation λ = Dτd . Equation 4 provides the flux boundary conditions for the corresponding nth diffusion equation in eq 5. The last boundary condition, J0 = 0, accounts for the far-field condition at the edge of the substrate. The reference adatom concentration is taken to be cref = Fτd. In the calculations, we ignore the possibility of adatom adsorption and desorption on the top of 2D layers since the CVD precursors generally do not decompose/break down on these surfaces. Throughout the rest of paper, we have adopted the following default parameter set in numerical simulations for generality: λn = 10 μm, τd,0 = 10 s, F0 = 10−3Ωs, Ωs ≈ 1020 m−2, Δεbind = 5 meV/Å2, ε1 = 20Δεbind, ε2 = 2ε1 + Δεbind, γn = 1 eV/Å, Kn− = 10Kn+, and T = 1000 K. The proposed model aims to capture the essential thermodynamics and kinetics of deposition-based 2D layered crystal growth while maintaining enough generality for major 2D material systems of interest. Bilayer growth in pure MoS2 and WS2/MoS2 heterostructure systems has been experimentally observed to form stacked triangular layers as described in our model system.26,27 For layer growth of TMDs, the diffusion of the adsorbed transition metal atoms (e.g., Mo) has been shown to be the rate-limiting process due to much lower diffusivity30 and lower concentration27 than the chalcogen atoms. Therefore, in the present work, we focus on the diffusive mechanisms of only transition metal atoms, setting aside the detailed chemical reaction process30 and the macroscopic shape evolution35 of the 2D layers. This allows us to consider additional systems such as bilayer graphene, where the subsequent layer is inserted between the initial hexagonal layer and the Cu(111) surface.31 The primary lateral diffusion mechanism of carbon adatoms to the subsequent layer involves hopping between the first subsurface sites in the Cu substrate,32 and we can use our model without modification despite the positional change. The model does not include strain effects and the related defects induced by lattice mismatch and is therefore valid for heterostructure systems with similar lattice constants, such as TMDs with identical chalcogen atoms (e.g., WS2/MoS2). Larger (Smaller) Size of Initial (Subsequent) Layer Reduces the Growth Rate of Subsequent Layer, Even Prohibiting Growth. We obtain the growth rates of layer 1

⎛ −ε ⎞ γ + Γ1J1 −⎜ − 1 − η 1 + μ1 −⎟ ΩsL1 ⎝ Ωs ⎠ ⎛ ε − ε2 ⎞ γ + Γ2J2 +⎜ 1 + η 2 − μ2 + ⎟ Ω sL 2 ⎝ Ωs ⎠ ⎛ ε − ε2 ⎞ γ + Γ2J2 −⎜ − 1 − η 2 + μ2 −⎟ Ωs Ω sL 2 ⎝ ⎠

∫0

−D

∞

kBT (∇c)2 dS + c

∫0

∞

⎛ c⎞ μ⎜F − ⎟ dS τd ⎠ ⎝ (3)

Here, the chemical potential of the adatoms is defined as μ = kBT ln(c/cref). The second law of thermodynamics stipulates that ∂Efree/∂t < 0. This condition can be achieved if we choose Jn± as ⎛ε ⎞ γ J1 + = K1 +⎜ 1 − η 1 + μ1 + ⎟ ΩsL1 ⎝ Ωs ⎠ ⎛ ε ⎞ γ J1 − = K1 −⎜ − 1 + η 1 − μ1 −⎟ ΩsL1 ⎝ Ωs ⎠ ⎛ ε − ε1 ⎞ γ − η 2 + μ2 + ⎟ J2 + = K 2 +⎜ 2 Ω sL 2 ⎝ Ωs ⎠ ⎛ ε − ε1 ⎞ γ + η 2 − μ2 −⎟ J2 − = K 2 −⎜ − 2 Ωs Ω sL 2 ⎝ ⎠

(4)

In these boundary conditions, Kn± are kinetic coefficients accounting for the attachment/detachment of adatoms at the domain boundary n. The outward normal growth rate of layers can be estimated by vn =

Ln 1 (Jn + ΩsLn 0

∫

− Jn −) dl . Finally, to

quantitatively obtain the distributions of adatom concentration and the growth rates of 2D layers, n independent diffusion equations are constructed for n domains: ∂cn = Dn∇2 cn + Fn − τd,−n1cn ∂t

(5) 12782

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Figure 3. (a) Schematics for two scenarios based on the thermodynamic criterion for layer 2 growth (layer 2 on top of layer 1). (b) Heat map of the minimum required value of material-specific property Δεbind/(ηγ) to ensure vertical growth is thermodynamically favored (left scenario in (a)) at different sizes of layer 1 and layer 2. The solid lines with open symbols are obtained from numerical simulations of hexagonal and triangular bilayers which scan over the size limit L1max. If the layer sizes fall to the right (left) side of the corresponding line for a certain material, growth of layer 2 is preferable (prohibited). (c) Influences of flux (unit Ωs), kinetic coefficient, and diffusivity on the growth rate of layer 2, assuming a fixed layer 2 size of 50 nm. Other growth parameters are the same as those adopted in Figure 2.

⎡ 1 γ ⎤ c 2 − = cref exp⎢ k T Ω ε1 − ε2 + η L2 ⎥, respectively. The ⎣ B s 2 ⎦ growth of layer 2 simply requires that c1− > c2−. Therefore, the size-dependent thermodynamic criterion for vertical growth can be written as

and layer 2 and the adatom concentration profiles by numerically solving eq 5 with the boundary conditions described in eq 4. We find that the growth rate of layer 2 (vL2) strongly depends on the sizes of layer 1 (L1) and layer 2 (L2), to the extent that size limits are observed that determine whether layer 2 will grow. As shown in Figure 2(a), for a given L2, vL2 monotonically decreases with increasing L1, even becoming negative at a maximum value L1max, which indicates that layer 2 growth is prohibited. For example, for fixed L2 of 20 and 50 nm, the crossover point L1max is found at 28.1 and 179.7 nm, respectively; if L1 exceeds these values, growth of layer 2 will cease. Correspondingly, if L1 is fixed instead of L2, vL2 monotonically increases with increasing L2. We again observe negative vL2 values up until a certain minimum value L2min as shown in Figure 2(b). This is analogous to a critical nucleation size that depends on L1 for layer 2 growth. Therefore, we conclude that for a certain size of layer 2 (layer 1), there exists a maximum (minimum) size of layer 1 (layer 2) to ensure vertical growth, and decreasing the size difference between the two layers benefits bilayer growth. This phenomenon is observed in all studied layer shapes. The adatom concentration profiles on layer 1 match this behavior as illustrated in Figure 2(c); adatoms diffuse toward (away) from layer 2 if the vertical growth is preferable (prohibited). An Analytic Thermodynamic Criterion Involving the vdW Interaction Energies and the Edge Energies Determines Whether the Subsequent Layer Can Grow at a Particular Size. To explicitly determine the requirements for the growth of layer 2, we consider the flux boundary conditions in eq 4, which ensure the evolution of the system is thermodynamically favorable. In the limiting case of Kn− approaching infinity (which corresponds to fast attachment), the adatom concentrations on the boundaries of layer 1 and ⎡ 1 γ ⎤ layer 2 are expressed as c1 − = cref exp⎢ k T Ω −ε1 + η L1 ⎥ and ⎣ B s 1 ⎦

(

(

)

Δεbind = εLL − εL1S > η(γ2/L 2 − γ1/L1)

(6)

where εLL is the vdW binding energy density between two layers and εL1S is the binding energy density between layer 1 and the substrate. The difference between these two energies, Δεbind, gives the energy gain of adding atoms to the subsequent layer instead of lateral monolayer growth of the existing layer. Figure 3(a) expands on the thermodynamic growth criterion in eq 6 and shows how Δεbind must be of sufficient value to overcome the energy penalty of increasing the layer perimeter. The vertical bilayer growth criterion becomes easier to meet as εL1S decreases toward the freestanding case of εL1S = 0, and this is qualitatively consistent with previous thermodynamic analysis.30 The left-hand side of eq 6 can be modified to account for alternative layer growth mechanisms; for example, for bilayer graphene on a Cu(111) surface where layer 2 lies between layer 1 and the substrate,31 Δεbind should be modified as Δεbind = εLL + εL2S − 2εL1S, where εL2S is the vdW binding energy density between layer 2 and the substrate. The Δεbind and γ are constant for a given material and substrate system, and from these values the previously discussed size limits L1max and L2min for layer 2 growth can be quantitatively determined via eq 6. A heat map is given in Figure 3(b) showing the minimum requirements of material properties Δεbind, γ, and η for layer 2 growth at certain sizes of layer 1 and layer 2, assuming γ is equivalent for both layers. The black solid lines with open symbols in Figure 3(b) are obtained by numerically scanning over the size limit L1max, and these results are consistent with the heat map contours established by eq 6. The

)

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Figure 4. (a) Schematic representations of two scenarios of time-dependent layer growth. (b) Time-dependent size of layer 2 at varying initial sizes of layer 1 beginning with L2ini = 50 nm. (c) Individual layer growth rate as a function of time for vertically stacked layers of triangular and hexagonal shapes.

L1max, with the result that layer 2 will continue to grow at a positive rate indefinitely, leading to a vertically stacked structure. Clearly, the resulting structure depends on the kinetic competition between the sizes of layer 1 and layer 2, subject to the thermodynamic parameters of the material system. These requirements apply in addition to the criterion established in eq 6, which is only instantaneously valid for given sizes of layer 1 and layer 2. Figure 4(b) shows that the initial state strongly affects the growth mode and growth rate. From the thermodynamic analysis, the critical size for stability of bilayer TMDs is on the order of tens of nanometers.30 Since the final layer size is on the order of micrometers,26−28 we measure the layer growth from an initial L2 of 50 nm as an illustrative case. The detailed nucleation process of layer 2 beginning with only several adatoms and the related nucleation probability32 are not considered. In all quasi-static simulations, the diameter of the substrate is set to 20 μm. For triangular shape, the corresponding maximum size of layer 1 (L1max) and the critical size of layer 2 (L2c) are 179.7 nm and 69.3 nm, respectively. As illustrated in Figure 4(b), layer 2 growth ceases at only 0.17, 0.26, and 0.5 s when the initial size of layer 1 (L1ini) is 130, 120, and 110 nm, respectively. However, the growth of layer 2 will proceed indefinitely if L1ini ≤ 100 nm. Mechanistically, this arises from the fact that increasing L1ini decreases the growth rate of layer 2 (vL2), allowing layer 1 to reach L1max with ease. Next, we investigate a case of successful vertical growth with initial conditions L2ini = 50 nm and L1ini = 100 nm. The timedependent growth rates of vertically stacked layers with triangular and hexagonal shapes are plotted in Figure 4(c). After 60 s, L1 and L2 for the triangular shape reach 3954 and 1079 nm, respectively, while the values for the hexagonal shape are roughly half these at 1583 and 454 nm (see Supporting Information, Figure S1). Generally, layer 1 grows faster than layer 2 and the growth rates of both layers decrease over time. The clear dip of vL2 in the triangular model is due to L1 approaching L1max in the early stage of growth; if vL2 had continued to drop and gone below zero, the growth mode would fall into scenario I. This dip is not observed in the

discrepancy in L1max for hexagonal and triangular layers of identical material arises from the difference in the structural parameter η. At a critical size of layer 2 (L2c), the L1max rises rapidly to infinity. While the growth rate still depends on the instantaneous L1 and L2, beyond L2c the positive growth of layer 2 will proceed regardless of the size of layer 1. This L2c value follows an inverse relation to Δεbind/(ηγ). The absolute growth rate of layer 2 strongly relates to the parameters adopted in the diffusion model, specifically F, K+, and λ. The flux F accounts for the supply of adatom on the substrate, the kinetic coefficient K+ provides an estimate for the ability of adatoms to hop from the substrate to layer 1, and the diffusion length λ describes the effective distance an atom can move during its adsorbed lifetime. In Figure 3(c), we numerically scan these parameters to determine their influence on the growth rate using a triangular model system with a fixed L2 of 50 nm. Increasing any of these parameters will enhance the absolute growth rate of layer 2. However, the crossover point vL2 = 0 and corresponding size limit L1max do not change, indicating that the simple thermodynamic growth criterion established by eq 6 remains valid. Although these growth parameters are experimentally accessible (e.g., by gas flow and temperature), they are not able to adjust the layer 2 growth criterion at certain layer sizes. To further investigate the issue of relevant experimental controls, we next consider the timedependent growth process. Initial Layer Sizes, Temperature, and Adatom Flux from Vapor Are the Primary Criteria Affecting the Final Structure in Time-Dependent Growth. Two distinct scenarios emerge when time dependence is considered in the growth of vertically stacked 2D materials, as depicted in Figure 4(a). In both cases, the initial state consists of two layers obeying the criterion for layer 2 growth (L2 > L2min and L1 < L1max). In scenario I, L1 approaches and exceeds L1max after some time. Consequently, the size of layer 1 prohibits further layer 2 growth and layer 2 will prefer to shrink. The final structure of scenario I will be just the monolayer, since the lateral in-plane growth of layer 1 dominates. Scenario II begins similarly, but in this case L2 exceeds L2c before L1 can reach 12784

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Figure 5. (a) Influence of temperature on the growth of layer 2. (b) Influence of flux (unit Ωs) on the growth of layer 2. The growth time of the successful vertical growth connected with the solid line is 2 s. (c) Optical images of TMD samples grown by CVD at different temperatures, including monolayer and vertically stacked bilayer MoS2 (a1 to a3), MoSe2 (b1 to b3), WS2 (c1 to c3), and WSe2 (d1 to d3). The corresponding growth temperatures of samples are marked in (a). (d) Optical images of MoS2 samples grown at 1023 K under different fluxes (e1 to e3). The flow rate of Ar is 150, 70, and 20 sccm, respectively.

Figure 6. (a) Dependence of the maximum size of layer 1 on size of layer 2 for MX2 (M = Mo, W; X = S, Se, Te). (b) Optical images of MX2 (M = Mo, W; X = S, Se, Te), showing increased layer stacking moving down the chalcogenide period. The growth conditions are as follows: MoS2, 1023 K, 15 min; MoSe2, 1023 K, 15 min; MoTe2, 973 K, 5 min; WS2, 1023 K, 15 min; WSe2, 1123 K, 10 min; WTe2, 1103 K, 5 min.

Kn+ = Kn− exp(− Vb/kBT),32 where Vb is the energy barrier an adatom must overcome to hop from domain n − 1 to domain n. The value of Vb is chosen to be 0.23 eV, consistent with ref 32. At higher temperature, K+ approaches K−, indicating that more adatoms will climb from the substrate to layer 1, where they will have a chance to contribute to vertical growth. Figure 5(a) shows a critical temperature Tc of 1020 K for indefinite layer 2 growth. Below this critical temperature, the layer 2 growth ceases in the early stage and growth of layer 1 prevails, corresponding with scenario I discussed earlier. Otherwise, growth of the stacked layers remains favorable. In order to verify the predicted trend, we synthesize MX2 (M = Mo, W; X = S, Se) via CVD at different temperatures. The optical images of final structures are shown in Figure 5(c). The monolayers are observed at low growth temperatures (e.g., MoS2, MoSe2,

hexagonal model because the example L2ini (50 nm) is already larger than the corresponding L2c (23.1 nm). As previously discussed, the time-dependent growth process establishes the connection between experimentally observed growth conditions for vertically stacked 2D materials and the proposed growth model. Using the same initial conditions of L2ini = 50 nm and L1ini = 100 nm, we first examine the effect of growth temperature. The temperature may modify both diffusion coefficient D and kinetic coefficient K, which are considered separately. First, we have verified that the growth mode is not sensitive to changing only the diffusion coefficient among the default parameters within an order of magnitude larger or smaller; this merely varies the absolute growth rates. For the kinetic coefficient K, the influence of the temperature is captured by the ratio of K+ to K−, which is given by the relation 12785

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depend on the instantaneous sizes of layer 1 and layer 2. A material-dependent maximum size of layer 1 (L1max) and minimum size of layer 2 (L2min) bound the positive growth (vL2 > 0) region for layer 2. Next, an analytic thermodynamic criterion for layer 2 growth is obtained, and we find that beyond a critical layer 2 size (L2c), the layer 2 growth becomes indefinite regardless of layer 1 size. The experimentally relevant environmental parameters do not affect this analytic criterion, but play crucial roles in the time-dependent growth process by controlling the transport of adatoms within and between the layers. Using quasi-static simulations, we find that temperature, adatom flux from vapor, and initial layer sizes control the final structure due to the specific evolution of layer 1 and layer 2 in the early stage of growth. Finally, based on the energies from DFT calculations, bilayer TMDs can be most readily synthesized in the case of ditellurides followed by diselenides and disulfides. The experimental observations of CVD-grown monolayer and vertically stacked bilayer MX2 (M = Mo, W; X = S, Se, Te) verify the influence of temperature and flux on the final structure and show increasing number of layers with X moving down the chalcogenide period, which are consistent with the predictions from the proposed model. With this improved mechanistic understanding, we believe this model can guide future efforts toward CVD fabrication of vertically stacked 2D materials.

and WS2 at 973 K), while the vertically stacked bilayer structures are obtained at high temperatures (e.g., MoS2, MoSe2, and WS 2 at 1023 K). Further increasing the temperature clearly increases the layer 2 coverage in the final structure, indicating the ease of layer 2 growth. In contrast to disulfides and diselenides, bilayer and few-layer ditellurides can be easily produced at the same growth temperature (see Supporting Information, Figure S2). When considering WS2/ MoS2 heterostructures,26 which have been reported to grow laterally (monolayer) at 923 K and vertically (stacked bilayer) at 1123 K, the predicted trend of temperature on growth mode works as well. In addition to temperature, we examine the effect of flux, which can be controlled by the gas flow rate in CVD. As illustrated in Figure 5(b) (calculated with the default parameter set), a critical flux Fc = 1.26 × 10−3Ωs exists, below which growth of stacked layers is ensured. Qualitatively, decreasing the supply of adatoms on the substrate benefits vertical growth, which agrees with the reported experimental observations of bilayer graphene.34 Figure 5(d) demonstrates the MoS2 samples grown isothermally at 1023 K under different flow rates of argon gas. Monolayer MoS2, bilayer MoS2 with low layer 2 coverage, and bilayer MoS2 with high layer 2 coverage are respectively observed at 150, 70, and 20 sccm. This behavior is consistent with our predicted trend of flux on the growth mode. The Thermodynamic Criterion Coupled with DFTCalculated Energies Can Predict the Ease of Fabrication for Vertically Stacked TMDs: Ditellurides > Diselenides > Disulfides. Finally, we quantitatively evaluate the size limits for vertical growth of specific TMDs by incorporating the energies from DFT calculations into the thermodynamic criterion. The calculated edge energy densities and vdW interaction energy densities (between two layers and between layer and SiO2 substrate) of TMDs are listed in Table S1. The maximum sizes of the initial layer as a function of layer 2 size for MX2 (M = Mo, W; X = S, Se, Te) are plotted in Figure 6(a). Layer 2 growth is energetically preferable when the sizes of layer 1 and layer 2 fall below the lines for the corresponding TMDs. The critical sizes of layer 2 (L2c) for indefinite vertical growth are 20.2, 13.6, and 10.0 nm for MoS2, MoSe2, and MoTe2, respectively, while the corresponding tungsten dichalcogenide values are 30.8, 17.3, and 8.5 nm. With a lower L2c, it is easier to achieve the scenario II growth mode, which favors vertically stacked structures as the final product in the time-dependent process. Therefore, the probability for a successfully nucleated vertical island to achieve this stable growth mode increases from disulfides to diselenides to ditellurides in the TMD material family. This predicted trend is validated by the synthesized structures of MX2 shown in Figure 6(b). The optical images clearly show an increasing number of vertical layers with X moving down the chalcogenide period. Similar behavior is also observed for niobium dichalcogenides (see Supporting Information, Figure S3). Using more reliable measured or calculated parameters for materials of interest, the proposed model can provide further predictions to guide fabrication of vertically stacked 2D materials.

METHODS Simulation of Layer Growth. The growth of vertically stacked 2D materials is investigated by constructing the diffusion equations with flux boundary conditions that are derived from the mass conservation and the second law of thermodynamics ensuring the reduction of total free energy during growth. The steady-state diffusion equations are solved by the finite element method (FEM). When simulating the time-dependent growth process, we adopt the quasistatic approach in which steady-state growth rates are applied as normal boundary velocities of 2D layers by adopting the arbitrary Lagrangian−Eulerian (ALE)36 formulation in FEM. The diffusion equations are solved with updated geometry in the next time iteration.37 DFT Calculations. All DFT calculations are performed using the VASP package38 with the projector augmented wave (PAW)39−41 potentials for core electrons and the Perdew−Burke−Ernzerhof (PBE)42 form of the generalized gradient approximation (GGA) for the exchange and correlation functional. An energy cutoff of 520 eV is used for the plane-wave basis expansion. The unit cells of monolayer MX2 (M = Mo, W; X = S, Se, Te) are relaxed with a Γ-centered kpoint mesh of 12 × 12 × 1 in the first Brillouin zone. The supercells for freestanding bilayers (AB stacking) and monolayers on the αquartz (SiO2) substrate are relaxed with a Γ-centered k-point mesh of 4 × 4 × 1. Both structures are converged with an energy difference below 10−7 eV. To capture the vdW interactions between two TMD layers and between the TMD layer and the α-quartz substrate, we applied the DFT-D2 functional, which adds a pairwise force field to the conventional Kohn−Sham DFT energy.43,44 Additional details can be found in the Supporting Information. Preparation of TMD Samples. (1) Synthesis of MoS2: MoS2 is grown via CVD under atmospheric pressure. In a typical growth, MoO3 powder (1 mg) in an alumina boat is located at the middle of a tube furnace, while sulfur elemental powder (1 g) in another alumina boat is upwind of the MoO3. A piece of Si wafer with 280 nm SiO2 top layer is suspended on the MoO3 boat with the polished surface down. Argon gas of 100 standard cubic centimeters per minute (sccm) is used as carrier gas and provides an inert atmosphere as well. The system is heated to growth temperatures with a heating rate of 50 K/ min. After the system is maintained at the growth temperature for 15 min while the sulfur is fixed at 470 K, the system is then cooled naturally. (2) Synthesis of MoSe2: The method is analogous to the

CONCLUSIONS In this work, we have proposed a general growth model for vertically stacked 2D materials, identifying the physical parameters that play important roles in determining the final structure. First, the growth rate of layer 2 is found to strongly 12786

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ACS Nano growth of MoS2 while the selenium is fixed at 570 K and the mixed gas of Ar/H2 with a flow rate of 70/5 sccm is used as carrier gas. (3) Synthesis of MoTe2: The method is similar to the reported results in ref 45. (4) Synthesis of WS2: The method is analogous to the growth of MoS2, but changing the MoO3 to WO3. (5) Synthesis of WSe2: The growth method can be found elsewhere.46 (6) Synthesis of WTe2: The method is similar to the reported results in ref 45. (7) Synthesis of NbS2/NbSe2/NbTe2: Mixed powder of NaCl and Nb2O5 with weights of 1 mg and 6 mg in an alumina boat is placed in the center of the tube. Another alumina boat containing S/Se/Te powder is placed upstream with the temperature of 470, 570, and 670 K, respectively. The furnace is heated with a ramp rate of 50 K/min to the growth temperatures and held at this temperature for 5 min before being cooled to room temperature naturally. Ar/H2 with a flow rate of 80/10 sccm is used as carrier gas.

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ASSOCIATED CONTENT S Supporting Information *

The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acsnano.7b07604. Size evolution of vertically stacked layers with time; optical images of MoTe2 and WTe2 samples; optical images of NbS2, NbSe2, and NbTe2 samples; summary of energies from DFT calculations; detailed derivations of the governing equations; additional details of DFT calculations (PDF)

AUTHOR INFORMATION Corresponding Author

*E-mail: [email protected]. ORCID

Han Ye: 0000-0002-9119-4781 Zheng Liu: 0000-0002-8825-7198 Notes

The authors declare no competing financial interest.

ACKNOWLEDGMENTS The work is supported primarily by contract W911NF-16-10447 from the Army Research Office (V.B.S.) and also by grants EFMA-542879 (D.E.), CMMI-1727717 (C.P.), and DMS-1522603 from the U.S. National Science Foundation. H.Y. thanks the support from the National Natural Science Foundation of China (NSFC) (61401035, 61671090) and Fund of State Key Laboratory of Information Photonics and Optical Communications (Beijing University of Posts and Telecommunications), P. R. China (IPOC2017ZT07). This work is also supported by the Singapore National Research Foundation under NRF RF Award No. NRF-RF2013-08, Tier 2 MOE2016-T2-2-153, and MOE2015-T2-2-007. REFERENCES (1) Zhang, Y. B.; Tan, Y. W.; Stormer, H. L.; Kim, P. Experimental Observation of the Quantum Hall Effect and Berry’s Phase in Grapheme. Nature 2005, 438, 201−204. (2) Das, A.; Pisana, S.; Chakraborty, B.; Piscanec, S.; Saha, S. K.; Waghmare, U. V.; Novoselov, K. S.; Krishnamurthy, H. R.; Geim, A. K.; Ferrari, A. C.; Sood, A. K. Monitoring Dopants by Raman Scattering in an Electrochemically Top-Gated Graphene Transistor. Nat. Nanotechnol. 2008, 3, 210−215. (3) Novoselov, K. S.; Geim, A. K.; Morozov, S. V.; Jiang, D.; Zhang, Y.; Dubonos, S. V.; Grigorieva, I. V.; Firsov, A. A. Electric Field Effect in Atomically Thin Carbon Films. Science 2004, 306, 666−669. 12787

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